MIT Postdoctoral Position in Machine Learning for Medicine

MIT's Lab for Computational Physiology at Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine. We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for medicine, physiological modeling, and treatment decision support.

The ideal candidate will have demonstrated an outstanding capability for independent research in machine learning. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. Knowledge and experience in one or more of the following areas would be desirable: deep learning, state space models, structure learning, high-dimensional multivariate time series models, and reinforcement learning. Familiarity with signal processing, controls and dynamical systems would be desirable, but not required.

Successful candidate will work with researchers and faculty members from MIT IMES, CSAIL, and members of the MIT-IBM Watson AI Lab. In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li Lehman, lilehman<at>

Li-wei Lehman, Ph.D. 
Research Scientist 
Laboratory for Computational Physiology 
Institute for Medical Engineering & Science
Massachusetts Institute of Technology